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Paper Citation Record · LEDGER

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals

As of 23 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2412.02154.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.02154 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:54:48.810712Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

  • verified exact3
  • verified fuzzy22
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 702a4d90-6b2b-4b5c-b4da-9790f0177641 · outbound

This paper cites Falsification of cyber-physical systems using deep reinforcement learning.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Falsification of cyber-physical systems using deep reinforcement learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.173970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.700620Z digest=sha256:c021bde3c8c116c89f41ab55686d5f550c14fde1e913d4beedb9ae519e490281

Observation 2210c81d-6fb5-47cf-a48c-6ff35a4115e8 · outbound

This paper cites Self-driving cars: A survey.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Self-driving cars: A survey

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.162436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.706228Z digest=sha256:4dd7d2ca741691d6d94c93c4d4c12e968281803459c95727e367955246dbae95

Observation ffcf5bb9-af10-4e35-a780-6487789f3c28 · outbound

This paper cites Adaptive importance sampling: The past, the present, and the future.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Adaptive importance sampling: The past, the present, and the future

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.151191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.710820Z digest=sha256:a11bc60873f9a4bb663ed50d12bfed2e00d44362a5d660b30fb858788899907f

Observation 80d9d4b8-f3ea-4422-84e8-4e5aa458ef38 · outbound

This paper cites Population M onte C arlo.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Population M onte C arlo

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.139145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.715073Z digest=sha256:c512be771c98bc51fff0f4a3671e8fb5e2dfd1cb564a0ff31d017649df2c63b4

Observation 92af12db-3a03-40a9-a5b9-40d447e053eb · outbound

This paper cites Chryssanthacopoulos, Mykel J.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Chryssanthacopoulos, Mykel J

Reference 5

Resolution
verified exact
doi, observed 2026-08-11T23:54:48.845854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.719629Z digest=sha256:2d4aa5fc7535c452f5c0a8ff5f16b92100001ba7599f0827d75fdd089aea3887

Observation 7e76f135-e9e6-45d4-94a1-91b377e5e075 · outbound

This paper cites Clarke, Thomas A.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Clarke, Thomas A

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.127557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.723905Z digest=sha256:aa32863fcdf5a626ac89f9023e0bbcfc15858a45c9dde66b670a48247ca83c4b

Observation 005864ff-9a4c-4450-8ae6-3caa1ffc3af4 · outbound

This paper cites A survey of algorithms for black-box safety validation of cyber-physical systems.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals A survey of algorithms for black-box safety validation of cyber-physical systems

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.116061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.728221Z digest=sha256:cdd2ea3f57355f1700959f63fbb74867c03aaafc9d12d8ca63d8d8e52ddcbc4b

Observation 8fb9299d-fd31-480d-9f8e-e14ea627bb4d · outbound

This paper cites A Deep Reinforcement Learning Approach to Rare Event Estimation.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals A Deep Reinforcement Learning Approach to Rare Event Estimation

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:54:48.882413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.732213Z digest=sha256:bbd11728cccb62d5eec1a1997c604fd383e3c620e903c1bc53dbbad64e746761

Observation 84003aad-6aed-4099-9cd1-de0b51b4a1d2 · outbound

This paper cites Testing cyber-physical systems through B ayesian optimization.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Testing cyber-physical systems through B ayesian optimization

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.103517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.736606Z digest=sha256:57aa5c3a71e1b5ff4581735a172986f504891f0084d5cb4d02eddfb195f5d0d5

Observation 87959fb0-ee96-4837-b1b4-52003de14d5b · outbound

This paper cites an unresolved cited work.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Unresolved cited work

Reference 10

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unresolved
raw_fallback, observed 2026-08-11T23:54:49.091964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.741239Z digest=sha256:36453c95e113989f36dc4475a5cbc551623db4c6181578cba7e3f73b68122e23

Observation fc4a2602-61db-47f4-b872-b2a7fad2c367 · outbound

This paper cites Verification challenges in F -16 ground collision avoidance and other automated maneuvers.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Verification challenges in F -16 ground collision avoidance and other automated maneuvers

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.081032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.744895Z digest=sha256:af0d92c7b941154d56d3a1ef342a55f41131926fe2df9afa08306e51bfff0e4e

Observation f1e4d75e-74ce-4552-9cbd-bec891058a77 · outbound

This paper cites Markov chain score ascent: A unifying framework of variational inference with markovian gradients.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Markov chain score ascent: A unifying framework of variational inference with markovian gradients

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.068807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.749542Z digest=sha256:fcf10e3dcda4e03d53b12f16d9d11f12bbdb74a60afa5e1ce0922bf5b6bb3417

Observation 189f91d3-cee6-475e-a83c-9ab30cccacf7 · outbound

This paper cites Kochenderfer, Jessica E.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Kochenderfer, Jessica E

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.056919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.753845Z digest=sha256:1098f0f4f624f8c4179361c6f638a707490a0726e6e5d86c8e1728a2e463ff98

Observation 773ea9db-d727-4b6d-9ad7-95bccb51e53b · outbound

This paper cites Adaptive stress testing for autonomous vehicles.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Adaptive stress testing for autonomous vehicles

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.043622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.757773Z digest=sha256:6b0c820abcce0d24cd73020de23152204cd5b648491ed81544dc77fc838fd32e

Observation 1063f0c1-d323-4c0b-9522-d9e40fff4841 · outbound

This paper cites Mengshoel, Anshu Saksena, Ryan Gardner, Daniel Genin, Joshua Silbermann, Michael Owen, and Mykel J.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Mengshoel, Anshu Saksena, Ryan Gardner, Daniel Genin, Joshua Silbermann, Michael Owen, and Mykel J

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.030861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.762121Z digest=sha256:c7204126696d66473659914d24c0eb6ea4081620ae85f2900b4c403a5e8d900a

Observation f4f8edee-9869-4e06-ab5c-ea628c44b901 · outbound

This paper cites Markovian score climbing: Variational inference with kl(p q).

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Markovian score climbing: Variational inference with kl(p q)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.017742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.765938Z digest=sha256:e031664432e810d2597d7145c8264a91019183f455124311af29454a3ad0e32b

Observation 3cbbb3fa-73bb-40fb-b390-bb44b156ca5e · outbound

This paper cites Efficient Black-box Assessment of Autonomous Vehicle Safety.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Efficient Black-box Assessment of Autonomous Vehicle Safety

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:54:48.864942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.769575Z digest=sha256:50e025a59d047a1ac88d062b08bd59de3235cbf804bbdf567a77b5e1200e0c6f

Observation 4a449ea2-d65c-4a27-9515-138b9604731f · outbound

This paper cites Safe and effective importance sampling.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Safe and effective importance sampling

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:49.003587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.774206Z digest=sha256:d046ad2d0e84fb20427603e8fe9a1ca6a9472ec3a28ce8d969c2988069e61995

Observation 0c0c1745-20ce-49aa-bd8d-1c01801db578 · outbound

This paper cites Owen, Adam Panken, Robert Moss, Luis Alvarez, and Charles Leeper.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Owen, Adam Panken, Robert Moss, Luis Alvarez, and Charles Leeper

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.989872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.778184Z digest=sha256:e4d4960c879d686662fc980d1a9bfb1f6f051e2cc99b1340ecd60780fc022e89

Observation 0197c20d-0a05-49a3-ae77-751e138c7646 · outbound

This paper cites The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, M onte- C arlo Simulation, and Machine Learning.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, M onte- C arlo Simulation, and Machine Learning

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.976662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.782053Z digest=sha256:f1b8d3057de748ddd6981d9b0da465d03380d6fc6ab88589151edac06d93f45f

Observation 132aec09-4802-4a28-9f5a-fc71bbca56fe · outbound

This paper cites Automated Theorem Proving in Software Engineering.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Automated Theorem Proving in Software Engineering

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.964066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.786210Z digest=sha256:e96215691915212bdbb5f808b69b319cba439f581e669a56fe07dcf8bc68482a

Observation aa54ee59-6737-4f26-93bf-e9edcf120d37 · outbound

This paper cites Neural bridge sampling for evaluating safety-critical autonomous systems.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Neural bridge sampling for evaluating safety-critical autonomous systems

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.952074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.790008Z digest=sha256:73d018c6992117ff4002bcba5596bfeb725de067de0423855468c8ccc0002285

Observation 5ffee85e-138b-4cc2-9d10-49296823f5d6 · outbound

This paper cites AVOIDDS : Aircraft vision-based intruder detection dataset and simulator.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals AVOIDDS : Aircraft vision-based intruder detection dataset and simulator

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.939646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.794818Z digest=sha256:13f86713c43f07e08a15840518f09d85699ac54db76c9cc56b7fa88f84a47b0d

Observation 0f424dc0-dde5-42d7-92a1-e7e994283a5c · outbound

This paper cites Congested traffic states in empirical observations and microscopic simulations.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Congested traffic states in empirical observations and microscopic simulations

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T23:54:48.798734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:54:48.798734Z digest=sha256:b1a21c7bbf3b6af2d37b49df38e41dbd126ec334385642d6af5c6a486c36e227

Observation 633e43bf-5eb3-41a3-848b-f4b6c6132ae3 · outbound

This paper cites Rapidly-exploring random trees for testing automated vehicles.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Rapidly-exploring random trees for testing automated vehicles

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.919539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.802653Z digest=sha256:370a16c9c7ed657b4a5614a1e25352773cf2d0a2e107cce71925eeaf81c1494f

Observation a6ee7c5e-038c-4fbd-84d7-34748349b1d8 · outbound

This paper cites Rigorous agent evaluation: An adversarial approach to uncover catastrophic failures.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals Rigorous agent evaluation: An adversarial approach to uncover catastrophic failures

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.907274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.806804Z digest=sha256:71528a268967ddaeae2e68a2a92c13e0f5c1d41d5b316da78137e18a89e4a55e

Observation a7e30f37-56d6-44ff-8e2d-426525437e8a · outbound

This paper cites A survey on the application trends of home service robotics.

Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals A survey on the application trends of home service robotics

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:54:48.895162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T23:54:48.810712Z digest=sha256:bc76bedeaaf7656333655ba8e757696be71dd1278cbf8cfa2b914d28320e37de

Pith citing papers

No inbound Pith citation observations are available.